1,720,955 research outputs found
Twice dataset : digital twin of test scenarios in a controlled environment
Get PDFOrientador: Prof. Dr. Eduardo Parente RibeiroCoorientador: Prof. Dr.-Ing. Werner HuberDissertação (mestrado) - Universidade Federal do Paraná, Setor de Tecnologia, Programa de Pós-Graduação em Engenharia Elétrica. Defesa : Curitiba, 24/11/2023Inclui referênciasResumo: Para possibilitar o desenvolvimento de sistemas de percepção para direção automatizada, a indústria automotiva utiliza cenas pré-gravadas com dados de sensores, como por exemplo: câmera, radar e LiDAR. Este conjunto de dados (dataset) permite a realização de um processo iterativo no desenvolvimento de algoritmos, a fim de reduzir quantidade de testes reais. Primeiramente, neste projeto é realizada uma revisão de diferentes datasets disseminados pela comunidade científica e utilizados pela indústria automotiva. Em seguida, é proposta a criação de um novo dataset chamado TWICE, um acrônimo em inglês para "digital twin of test scenarios in a controlled environment". Este dataset contém dados de sensores reais (câmera, radar e LiDAR) coletados de duas formas diferentes: (1) com a execução de testes em campo em uma pista de testes, e (2) em laboratório, com uma bancada de testes, na qual os sensores são estimulados com ajuda de simulação. Para a criação do dataset proposto, os dados coletados devem ser estruturados de maneira que possibilitem seu processamento de forma automatizada. A principal característica é o fato de que os dados coletados em laboratório se referem a um gêmeo digital (digital twin) dos testes executados em campo. Ou seja, para cada teste real existe um teste equivalente criado na simulação. Porém, ambos foram executados com o mesmo hardware e software para a percepção do ambiente. A fim de estimar a diferença entre os testes realizados em campo e em laboratório, é proposto um método para estimar a diferença (gap) entre realidade e simulação com base no TWICE dataset. Isso contribui para que o desenvolvimento de algoritmos de direção automatizada possa ser, em um primeiro momento, auxiliado por testes realizados em laboratório antes da execução de extensivos testes em campo, que demandam grande esforços e custos.Abstract: To enable the development of perception systems for automated driving, the automotive industry uses pre-recorded scenes with data from sensors such as camera, radar and LiDAR. This allows an iterative process in the development of algorithms, in order to reduce the effort in the execution of tests. First, in this project a review of different datasets disseminated by the scientific community and used by the automotive industry is performed. Then, it is proposed the creation of a new dataset called TWICE, an acronym for "digital twin of test scenarios in a controlled environment". This dataset contains data from real sensors (camera, LiDAR and radar) collected in two different ways: (1) by performing field tests on a test track, and (2) in the laboratory, with a test bench, on which the sensors are stimulated with the help of simulation. To create the proposed dataset, the collected data must be structured in such a way that it can be processed in an automated manner. The main characteristic of the TWICE dataset is the fact that the data collected in the laboratory refer to the digital twin of the tests performed in the field. That is, for each real test there is an equivalent test created in the simulation. However, both tests were executed with the same hardware and software for environment perception. In order to estimate the difference between the tests performed in the field and in the laboratory, a method is proposed to estimate the gap between reality and simulation based on the TWICE dataset. This contributes to the fact that the development of automated driving algorithms can be, in a first moment, aided by tests performed in the laboratory before the execution of extensive field tests, which demand great efforts and costs
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Author Under Sail The Imagination of Jack London, 1893-1902
No full textIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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